Evidence map›Paper›PMID 39504475›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

Trending in the right direction: critical access hospitals increased adoption of advanced electronic health record functions from 2018 to 2023.

Nate C Apathy, A Jay Holmgren, Paige Nong, Julia Adler-Milstein, Jordan Everson

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Revisiting the rural and urban divide in hospital health information technology adoption: Evidence from 2023.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nate C ApathyHealth Policy & Management, University of Maryland School of Public Health, College Park, MD 20742, United States.ORCID 0000-0002-7775-8544
A Jay HolmgrenDivision of Clinical Informatics and Digital Transformation, University of California-San Francisco School of Medicine, San Francisco, CA 94131, United States.ORCID 0000-0002-7939-6831
Paige NongHealth Policy & Management, University of Minnesota School of Public Health, Minneapolis, MN 55455, United States.ORCID 0000-0002-2849-9005
Julia Adler-MilsteinDivision of Clinical Informatics and Digital Transformation, University of California-San Francisco School of Medicine, San Francisco, CA 94131, United States.
Jordan EversonUnited States Department of Health and Human Services, Washington, DC 20201, United States.ORCID 0000-0001-5355-6043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe analyzed trends in adoption of advanced patient engagement and clinical data analytics functionalities among critical access hospitals (CAHs) and non-CAHs to assess how historical gaps have changed. MATERIALS AND

methodsWe used 2014, 2018, and 2023 data from the American Hospital Association Annual Survey IT Supplement to measure differences in adoption rates (ie, the "adoption gap") of patient engagement and clinical data analytics functionalities across CAHs and non-CAHs. We measured changes over time in CAH and non-CAH adoption of 6 "core" clinical data analytics functionalities, 5 "core" patient engagement functionalities, 5 new patient engagement functionalities, and 3 bulk data export use cases. We constructed 2 composite measures for core functionalities and analyzed adoption for other functionalities individually.

resultsCore functionality adoption increased from 21% of CAHs in 2014 to 56% in 2023 for clinical data analytics and 18% to 49% for patient engagement. The CAH adoption gap in both domains narrowed from 2018 to 2023 (both P < .01). More than 90% of all hospitals had adopted viewing and downloading electronic data and clinical notes by 2023. The largest CAH adoption gaps in 2023 were for Fast Healthcare Interoperability Resources (FHIR) bulk export use cases (eg, analytics and reporting: 63% of CAHs, 81% of non-CAHs, P < .001). DISCUSSION: Adoption of advanced electronic health record functionalities has increased for CAHs and non-CAHs, and some adoption gaps have been closed since 2018. However, CAHs may continue to struggle with clinical data analytics and FHIR-based functionalities.

conclusionSome crucial patient engagement functionalities have reached near-universal adoption; however, policymakers should consider programs to support CAHs in closing remaining adoption gaps.

Indexed as

Electronic Health RecordsDiffusion of InnovationHospitalsHumansPatient ParticipationUnited Statesbulk data exportcritical access hospitalsdata analyticsdigital divideEHR adoptionhospitalspatient engagement

Identifiers

PMID39504475
PMCPMC11648721

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.